Hire the Best R Developers & Programmers
in Ukraine

Ready to dive into your data deeply Make data analysis and predictive modelling Marketing and business domains are preferred Proficient in customer and investments analytics ✅ EXPERT-VETTED TOP 1% ON UPWORK 🚻 Customers and growth analytics Calculation different customer KPI like LTV Segmenting customers by using the RFM method Customers cohorts analysis to detect churn Scoring customer and revenue churn risks Predicting dates and prices of future orders Modeling prices and revenue flow scenarios Analyzing user behavior on social media 🛒 Products and inventory analytics Forecasting stock-out events to minimize lost of sales Planning assortment based on ABC & XYZ analysis Assessing product competitiveness on the market Market basket analysis based on association rules Product sentiment analysis based on social media data 🏦 Venture capital investment analytics Deep understanding of crunchbase data source Scoring startups' success, multiples, and time of exit Startup market analysis and trends insights Modelling investment deals processes Design due diligence recommendations 📶 Trading analytics Designing and verifying trading strategies Modelling reflexive behavior strategies Recognizing threat patterns in trading data Detecting anomalies and outliers in trading data Managing trading deals and assessing associated risks Assessing fraud risks in trading and investment activities Algorithmic trading strategies design for crypto market 🚀 Google Analytics Defining click-through-rate drivers Assessment listings search sort relevance Scoring and ranking website users' engagement Calculations of normalized discounted cumulative gain 🧪 Clinical Trials Analytics Design R Shiny dashboards for analytical results reporting Redesign legacy R and R Shiny code to have more robust apps TECH STACK 🔧 Core Languages Python (primary) – ML systems, data engineering, APIs, AI and LLM R (advanced) – R Shiny apps, analytics, reporting, statistical modeling SQL (expert) – 20+ years, complex analytics & data modeling 🎛 Data Science & Machine Learning Data analysis: tidyverse, data.table, lubridate Modeling: tidymodels, caret, mlr3, parsnip, broom Tree-based models: ranger, randomForest, xgboost, catboost Time series: forecast, prophet, tidyverts, xts, zoo NLP: tidytext, quanteda, sentimentr, stm Quant finance: quantmod, quantstrat Pharma analytics: pharmaverse, rtables, admital, tidytlg 👨‍💻 Data Apps, APIs & Reporting Dashboards: shiny, shinydashboard, bslib, shinyjs App frameworks: golem, rhino, teal Tables: DT, reactable, gt, flextable Reporting: RMarkdown, bookdown, LaTeX Auth: shinymanager, shinyauthr Mobile apps: shinyMobile APIs: plumber 💾 Data Engineering & Storage Databases: RMySQL, RODBC, bigrquery Cloud & formats: aws.s3, jsonlite, feather, openxlsx Distributed: sparklyr, SparkR, h2o Platforms: Databricks, Snowflake, Palantir Foundry, AWS 📶 AI, LLMs & MLOps LLM apps: ellmer, querychat, shinychat,mini007 Shared: Experiment tracking: MLflow 🤹 Visualization Core: ggplot2, ggpubr, ggmap Networks: igraph, ggnetwork, geomnet Hierarchies: treemap, data.tree JS integrations (via R) plotly.js, d3.js, highcharts, leaflet, networkD3 ⚙️ Software Engineering Packaging: devtools, renv, packrat Performance: Rcpp, RcppParallel, microbenchmark Parallel computing: foreach, doParallel ⏱️ Trading & Quant Systems Research & backtesting: quantmod, quantstrat

I have over 6 years of programming experience and 2 years of experience in data science. I do my work perfectly and with great interest. Programming languages: Python, R, MATLAB, LATEX .NET, C#, HTML, CSS, Javascript, SQL Server Reporting Services, IIS Databases: Oracle, MSSQL SDLC Tools: SVN, Git, Jira, Helpdesk

𝗜𝗳 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝗱𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀, 𝗺𝗲𝘁𝗵𝗼𝗱𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁/𝘀𝗲𝗰𝗼𝗻𝗱 𝘃𝗶𝗲𝘄 𝗳𝗼𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀/𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀, 𝗰𝗹𝗲𝗮𝗿 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗮𝗻𝗱 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗳𝗿𝗼𝗺 𝘆𝗼𝘂 𝗱𝗮𝘁𝗮 - 𝘆𝗼𝘂'𝘃𝗲 𝗰𝗼𝗺𝗲 𝘁𝗼 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗹𝗮𝗰𝗲. rich experience; attention to details; timely completion; clear insights, basic and advanced analysis/statistics/visualisation for business and academic purposes; 12 years experience, 200+ successful projects, each client was satisfied. I serve both 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝗻𝗱 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 providing analysis based on the most suitable approaches and tests. 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝘀𝘁𝗼𝗿𝗶𝗲𝘀 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗽𝗼𝗶𝗻𝘁𝘀. All my clients receive comprehensive support: full documentation, visualization, and ongoing assistance. In addition for 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗿𝗼𝗯𝘂𝘀𝘁 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻𝗰𝗹𝘂𝗱𝗶𝗻𝗴: Clinical trial analysis; Dissertation and thesis statistical analysis; Preparation for peer-reviewed publications and handling reviewers’ comments; Research design consultation; Complex analysis according to all academic standards with documentation. 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝘁𝗼𝗼𝗹𝘀: R (primary),Excel, Python, SPSS, Stata, EViews Visualization: Excel, Power BI, Tableau. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Survey Analysis, SEM, CFA, EFA, Multigroup CFA, Regression Analysis, Moderation, Mediation, Time Series, Predictive Modeling, Cluster Analysis, Churn/retention, Sales forecasting, demand prediction, Market segmentation, Customer behavior analysis, Performance metrics, KPI development and many other. I consistently go beyond the initial scope to extract maximum insights, identifying patterns that provide additional value. Every analysis includes clear explanation of methodologies and results, ensuring you can confidently use the findings. 𝗟𝗲𝘁'𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝗻𝗲𝗲𝗱𝘀. 𝗜 𝗮𝗹𝘄𝗮𝘆𝘀 𝘄𝗶𝗹𝗹 𝗳𝗶𝗻𝗱 𝗮 𝘄𝗮𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂.

I’m a phD student and R programmer with proficiency in statistical analysis, data visualization, tidying of data, and machine learning. Also, I can help with experimental design, writing of the scientific text, or working on biology projects/exams. So if your task lies in the field of biology, data wrangling or visualization, or maybe machine learning - I can help.

Hi! I’m Anastasiia - a data analyst with a strong background in bioinformatics and statistics. I hold an MSc in Genomic Medicine from the University of Oxford and have worked with genomic, proteomic and health-related datasets. I use R, Python and command-line tools to perform statistical analyses and create high-quality visualizations and reports. If your project involves biology, data wrangling, visualization, machine learning, or structural modeling – I’d be glad to help!